ICT and Signaling Effects on the Income of Rural Farmers in Indonesia

Muhammad Maftuhin

Abstract


This study investigates how the usage of ICT and signaling affects farmers' income in rural areas. Indonesian farmers employ a variety of ICT, including mobile phones, the internet, computers, and telephones. Indonesian farmers are frequently connected with a lack of ability to understand information technology. Furthermore, the village's poor facilities prevent farmers from adopting information technology, one of which is the presence of a signal. The 2018 national socioeconomic survey (susenas) is used in this study to examine the profile of people who work as farmers, and the 2018 village potential survey (podes) is used to determine the existence of current facilities in the village. The total sample size is 112,070 agricultural households from Indonesia. The ordinary least squares (OLS) approach was used to examine the impact of ICT elements on farmers' income, which included the ability to use ICT and the presence of 4G signals in the hamlet. According to the study's findings, farmers whose villages have a strong signal can improve their income. Farmers who use mobile phones in villages that receive 4G signals can also enhance their income.


Keywords


Agriculture, Socio-Economic, Communication, Network.

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Aker, J. C., & Ksoll, C. (2016). Can mobile phones improve agricultural outcomes? Evidence from a randomized experiment in Niger. Food Policy, 60, 44–51. https://doi.org/10.1016/j.foodpol.2015.03.006

Ali, A., & Abdulai, A. (2010). The Adoption of Genetically Modified Cotton and Poverty Reduction in Pakistan. Journal of Agricultural Economics, 61(1), 175–192. https://doi.org/10.1111/j.1477-9552.2009.00227.x

Awuor, F., Kimeli, K., Rabah, K., & Rambim, D. (2013). ICT solution architecture for agriculture. 2013 IST-Africa Conference & Exhibition, 1–7.

Baumüller, H. (2018). The Little We Know: An Exploratory Literature Review on the Utility of Mobile Phone-Enabled Services for Smallholder Farmers. Journal of International Development, 30(1), 134–154. https://doi.org/10.1002/jid.3314

Chang, H.-H., & Just, D. R. (2009). Internet Access and Farm Household Income - Empirical Evidence using a Semi-parametric Assessment in Taiwan. Journal of Agricultural Economics, 60(2), 348–366. https://doi.org/10.1111/j.1477-9552.2008.00189.x

Chhachhar, A. R., Qureshi, B., Khushk, G. M., & Ahmed, S. (2014). Impact of information and communication technologies in agriculture development. J. Basic Appl. Sci. Res., 4(1), 281–288. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85045914989&partnerID=40&md5=030b41b5582cb339d3e1205564623cfc

Damsgaard, S. B., Hernandez Marcano, N. J., Norremark, M., Jacobsen, R. H., Rodriguez, I., & Mogensen, P. (2022). Wireless Communications for Internet of Farming: An Early 5G Measurement Study. IEEE Access, 10, 105263–105277. https://doi.org/10.1109/ACCESS.2022.3211096

Ekbia, H. R., & Evans, T. P. (2009). Regimes of Information: Land Use, Management, and Policy. The Information Society, 25(5), 328–343. https://doi.org/10.1080/01972240903212789

el Bilali, H., & Allahyari, M. S. (2018). Transition towards sustainability in agriculture and food systems: Role of information and communication technologies. Information Processing in Agriculture, 5(4), 456–464. https://doi.org/10.1016/j.inpa.2018.06.006

Ge, N., Zang, Z., Gao, L., Shi, Q., Li, J., Xing, C., & Shen, Z. (2010). Multipath for Agricultural and Rural Information Services in China (pp. 345–351). https://doi.org/10.1007/978-3-642-12220-0_50

Gloy, B. (2000). Computer and internet adoption on large U.S. farms. The International Food and Agribusiness Management Review, 3(3), 323–338. https://doi.org/10.1016/S1096-7508(01)00051-9

Goyal, A. (2010). Information, Direct Access to Farmers, and Rural Market Performance in Central India. American Economic Journal: Applied Economics, 2(3), 22–45. https://doi.org/10.1257/app.2.3.22

Hou, J., Huo, X., & Yin, R. (2019). Does computer usage change farmers’ production and consumption? Evidence from China. China Agricultural Economic Review, 11(2), 387–410. https://doi.org/10.1108/CAER-09-2016-0149

Khan, A. H., Qadeer, M. A., Ansari, J. A., & Waheed, S. (2009). 4G as a Next Generation Wireless Network. 2009 International Conference on Future Computer and Communication, 334–338. https://doi.org/10.1109/ICFCC.2009.108

Khanna, M. (2001). Sequential Adoption of Site‐Specific Technologies and its Implications for Nitrogen Productivity: A Double Selectivity Model. American Journal of Agricultural Economics, 83(1), 35–51. https://doi.org/10.1111/0002-9092.00135

Ma, R., Teo, K. H., Shinjo, S., Yamanaka, K., & Asbeck, P. M. (2017). A GaN PA for 4G LTE-Advanced and 5G: Meeting the Telecommunication Needs of Various Vertical Sectors Including Automobiles, Robotics, Health Care, Factory Automation, Agriculture, Education, and More. IEEE Microwave Magazine, 18(7), 77–85. https://doi.org/10.1109/MMM.2017.2738498

Ma, W., Nie, P., Zhang, P., & Renwick, A. (2020). Impact of Internet use on economic well‐being of rural households: Evidence from China. Review of Development Economics, 24(2), 503–523. https://doi.org/10.1111/rode.12645

Mehrabi, Z., McDowell, M. J., Ricciardi, V., Levers, C., Martinez, J. D., Mehrabi, N., Wittman, H., Ramankutty, N., & Jarvis, A. (2020). The global divide in data-driven farming. Nature Sustainability, 4(2), 154–160. https://doi.org/10.1038/s41893-020-00631-0

Michailidis, A., Partalidou, M., Nastis, S. A., Papadaki-Klavdianou, A., & Charatsari, C. (2011). Who goes online? Evidence of internet use patterns from rural Greece. Telecommunications Policy, 35(4), 333–343. https://doi.org/10.1016/j.telpol.2011.02.006

Mittal, S., & Mehar, M. (2012). How Mobile Phones Contribute to Growth of Small Farmers? Evidence from India. Quarterly Journal of International Agriculture, 892-2016–65169, 18. https://doi.org/10.22004/ag.econ.155478

Nuthall, P. L. (2004). Case studies of the interactions between farm profitability and the use of a farm computer. Computers and Electronics in Agriculture, 42(1), 19–30. https://doi.org/10.1016/S0168-1699(03)00084-X

Ommani, A., & Chizari, M. (2008). Information Dissemination System (IDS) Based E-Learning in Agricultural of Iran (Perception of Iranian Extension agents).

Omulo, G., & Kumeh, E. M. (2020). Farmer-to-farmer digital network as a strategy to strengthen agricultural performance in Kenya: A research note on ‘Wefarm’ platform. Technological Forecasting and Social Change, 158, 120120. https://doi.org/10.1016/j.techfore.2020.120120

Owusu, A. B., Yankson, P. W. K., & Frimpong, S. (2018). Smallholder farmers’ knowledge of mobile telephone use: Gender perspectives and implications for agricultural market development. Progress in Development Studies, 18(1), 36–51. https://doi.org/10.1177/1464993417735389

Quandt, A., Salerno, J. D., Neff, J. C., Baird, T. D., Herrick, J. E., McCabe, J. T., Xu, E., & Hartter, J. (2020). Mobile phone use is associated with higher smallholder agricultural productivity in Tanzania, East Africa. PLOS ONE, 15(8), e0237337. https://doi.org/10.1371/journal.pone.0237337

Serbulova, N., Kanurny, S., Gorodnyanskaya, A., & Persiyanova, A. (2019). Sustainable food systems and agriculture: the role of information and communication technologies. IOP Conference Series: Earth and Environmental Science, 403(1), 012127. https://doi.org/10.1088/1755-1315/403/1/012127

Sørensen, C. A. G., Kateris, D., & Bochtis, D. (2019). ICT Innovations and Smart Farming (pp. 1–19). https://doi.org/10.1007/978-3-030-12998-9_1

Sushanth, G., & Sujatha, S. (2018). IOT Based Smart Agriculture System. 2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), 1–4. https://doi.org/10.1109/WiSPNET.2018.8538702

Tang, Y., Dananjayan, S., Hou, C., Guo, Q., Luo, S., & He, Y. (2021). A survey on the 5G network and its impact on agriculture: Challenges and opportunities. Computers and Electronics in Agriculture, 180, 105895. https://doi.org/10.1016/j.compag.2020.105895

Tong, W., Feng, X., & Chen, X. J. (2019). Research on Remote Control and Management Based on “4G Network” in Modern and High Efficiency Agriculture (pp. 233–241). https://doi.org/10.1007/978-3-030-02777-3_21

van Dijk, M. P., Limpens, G., Kariuki, J. G., & de Boer, D. (2022). Telephone farmers and an emerging ecosystem are unlocking the hidden middle of agricultural value chains in Kenya through innovation. Journal of Agribusiness in Developing and Emerging Economies. https://doi.org/10.1108/JADEE-03-2021-0059

Zhang, Y., Wang, L., & Duan, Y. (2016). Agricultural information dissemination using ICTs: A review and analysis of information dissemination models in China. Information Processing in Agriculture, 3(1), 17–29. https://doi.org/10.1016/j.inpa.2015.11.002




DOI: https://doi.org/10.21107/agriekonomika.v12i2.22127

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